• Journal of Industrial Technology
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• v.20 no.A
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• pp.229-238
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• 2000

Simulation analysis for an auto body manufacturing system has been performed in this study. The major goal is to figure out the condition yielding the production rate, 70 per hour. It is, however, very difficult to maintain this rate due to inherent system factors such as machine failure rates, machine repair rates, number of carriers between manufacturing lines(shops), carrier speed etc. We first carefully examined the system and developed a simulation model using ARENA. We then applied statistical experimental design concepts for performance analysis. Our results indicate that the buffer size of 30 and quick repair of failed robots are required for the desired production rate. Other factors, on the other hand, are seen to have minor effects on the throughput. The approach taken in this study and the results obtained may provide a practical guideline for performance analysis and thus be applied without trepidation for similar cases.

• Journal of Korean Society for Quality Management
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• v.31 no.4
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• pp.150-163
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• 2003

The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.

• Journal of KSNVE
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• v.11 no.2
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• pp.234-240
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• 2001

Recently, the regulations from the government and the concerns of people be raised to the interest in exhaust and intake noise of passenger car as much as other vehicles. In these demands, performance prediction software was developed in this paper. In this study, Robust design was used for improving the noise reduction capacity of intake system with the performance prediction software. On the basis of the existing design, length and radius of each component that was thought to be effective to the performance of intake system was selected. At first, factors are arranged by using Ll8 table of orthogonal array and then optimum value can be obtained by modified Ll6 table of orthogonal array.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.5
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• pp.121-129
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• 1999

Recently, the regulations from the govemment and the concems of the people give rise to the interest in exhaust noise of passenger car as much as other vehicles. The exact analysis of various mufflers is needed to reduce the level of exhaust noise. In this paper, we propose a design to improve the mufflers capacity by reducing noise of exhaust system combining Taguchi method and fractional factorial design. In order to measure the performance of a muffler, the performance prediction software which is developed by the Dept. of Automotive Engineering at Hanyang University is used. From the current muffler system we select control factors such as lenght and radius of each component that are thought to be effective on capacity of muffler. Factors are arranged using L18, L27 table of orthogonal array and the fractional factorial design for analysis. We find some significant interaction effects using 1/3 fractional factorial design and accomplish the reduction of noise from the muffler.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11a
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• pp.192-195
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• 2005

Nanometer operating linear motor is difficult to control the nano-positioning because of the vibration between structures changing of mechanical friction force happened by properties of the vibration and heat caused by operating of a mover. Therefore, it is required to analysis the vibration and heat about a mover. In this paper, we will analyze the property of vibration through analyzing by using FEM a mover of linear motor developed in the non-load situation and suggest the direction of optimal design about a mover by using method of DOE, also try to find the solution to operate the linear motor stabilized through the reducing weight of mover considering the vibration.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.66.2-66.2
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• 2010

미니탭(Minitab) 프로그램에 있는 실험계획법(Design of experiment)를 이용하여 박막실리콘 I-layer의 주효과 및 교호작용에 대한 연구를 실시하였다. I-layer의 주요 특성은 증착속도 및 전도도에 대하여 분석을 하였으며, 최종적으로 선택된 증착조건을 사용하여 비정질 실리콘 태양전지를 제조하여 확인 하였다. 실험설계는 2수준 5인자 완전설계요인법을 사용하였다. 분석결과 단막의 증착속도에 영향을 주는 주효과로는 Power와 E/S거리고 나타났으며, Power와 E/S거리, Power와 Pressure에서 큰 교호작용이 일어남을 확인 할 수 있었다. 암전도의 영향을 주는 주효과는 Sub. Temp.를 제외하고는 모두 영향을 주고 있었으며, 상당히 복잡한 교호작용을 이루고 있어 정확한 분석을 할 수는 없었다. 광전도도의 경우도 주효과에서 SiH4 flow rate를 제외하고는 모두 영향을 주고 있었으며, 복잡한 교호작용으로 정확한 분석이 어려웠다. 따라서 P-value를 분석하여 최종 R-제곱값이 증착속도는 97%이상의 높은 값을 얻었으나 전도도의 경우 최대차수 3차항으로 70~80%정도의 낮은 값을 얻었을 수 있었다. 낮은 값을 얻은 이유로는 실험설계시 몇몇 조건이 불안정한 plasma 상태로 인하여 전도도의 측정 편차가 커 분석오차가 높았을 것으로 추정된다. 암전도를 망소특성, 광전도도를 망대특성으로 광민감도 $10^5$으로 최적화 하여 비정질 태양전지를 만들어 평가한 결과 약 9%대의 광변환 효율을 얻을 수 있었으나 만족도 40%대의 낮은 값으로 향후 이와 관련한 더 정밀한 측정 및 분석이 요구된다.

• Journal of the Korean Ceramic Society
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• v.39 no.10
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• pp.1001-1006
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• 2002

Bond strength of $SrZrO_3$ resistive oxide barrier on Ag sheathed Bi(2223) tapes prepared by the sol-gel and dip-coating method was evaluated with an aid of Taguchi method and $L_18(2^1{\times}3^7)$ orthogonal arrays to determine the optimal process combination of levels of factors that best satisfy the bigger is better quality characteristic. The observed optimal condition is as follows: Sr/Zr mol ratio(0.3/0.7), amount of organic vehicle(5 wt%), drying temperature and time(160${\circ}C$, 10 min), heat treatment temperature and time(500${\circ}C$, 20 min), respectively. ANOVA analysis suggested that the influence of the factors within ${\alpha}$=0.1 was significant with a 90% confidence level.

• Composites Research
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• v.29 no.5
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• pp.249-255
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• 2016

The fiber metal laminates have been widely used at aerospace industry due to outstanding fatigue characteristic, corrosion resistance and impact resistance and so forth. The objective of this research is to establish the proper manufacturing variables for enhancing the interfacial energy release rate of fiber metal laminates using Taguchi method. The major variables of the manufacturing process are surface treatment, pre-specified temperature holding time and additional pressure. In order to determine the interfacial adhesive strength, the double cantilever beam and end-notched flexure tests were conducted. Afterward, Mode I and II energy release rates at various conditions were introduced signal-to-noise ratio with respect to each condition. Finally, the most efficient manufacturing variables are recognized using larger-the-better characteristic.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.129-136
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• 2017

Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.

• Journal of agriculture & life science
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• v.50 no.3
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• pp.69-80
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• 2016

The present study was to survey the site environment, vegetation structure and soil characteristics in the wild habitats of Acer tegmentosum Maxim. and offers basic information for habitats conservation and restoration. Most of the wild habitats were located at altitudes between 605~1,413m with inclinations ranged as 8~30°. The bare rock rate were 8~50%. The vegetation structure by the PC-ORD based on the Two Way Cluster Analysis were divided into three groups Community I(Acer tegmentosum - Quercus mongolica), Community II(Acer tegmentosum - Carpinus cordata), Community III(Quercus mongolica - Tilia amurensis). The species diversity(H') was highest in Community II as 1.474, Community I was 1.471, Community III was 1.219. The soil textures were Clay loam, The average soil pH was 4.8, Soil organic matter was 15.15% and available phosphorus was 2.33ppm. Ordination analysis result by soil characteristics, community, characteristic species showed that the greatest effect factors were slope, altitude, tree and shrub's cover rate, organic matter, total-nitrogen, calcium, magnesium. Correlation analysis between environment factor result showed that O.M. - (T.N., K+, Mg2+, CEC, EC), T.N. - (K+, Mg2+, CEC, EC) were positive correlations.